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Model: Blackfrost-AI/MINI-GOD-1B-BF16-ABLITERATED Source: Original Platform
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README.md
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README.md
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---
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license: apache-2.0
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base_model:
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- openbmb/MiniCPM5-1B
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pipeline_tag: text-generation
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library_name: transformers
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tags:
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- reasoning
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- agentic
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---
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# MINI-GOD-1B ABLITERATED *WORK IN PROGRESS*
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**Blackfrost-AI.** A ~1B reasoning model distilled through **The Void** — MiniCPM5-1B (Llama architecture) fine-tuned on **The Void** corpus. This is the **small end** of the family: the experiment in *how small The Void's reasoning + de-refusal behavior can be distilled and still hold together.* Its large sibling is **VEGA-27B** (same corpus, 27B).
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> Full-precision **bfloat16** weights. A GGUF build lives at **[Blackfrost-AI/MINI-GOD-1B-GGUF](https://huggingface.co/Blackfrost-AI/MINI-GOD-1B-GGUF)**.
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---
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## At a glance
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| Field | Value |
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|---|---|
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| **Base** | MiniCPM5-1B — `LlamaForCausalLM` |
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| **Params** | ~1.0 B |
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| **Architecture** | 24 layers · hidden 1536 · 16 attn heads / 2 KV heads (GQA) · head_dim 128 · SwiGLU |
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| **Context** | 131,072 (rope_theta 5e6) |
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| **Vocab** | 130,560 |
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| **Dtype** | bfloat16 |
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| **Fine-tune data** | **The Void** corpus (v3) — 5,025 records (3,132 knowledge/CoT + 1,893 agentic ReAct, 38% agentic) |
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| **Method** | unsloth QLoRA (4-bit base) → merged bf16 |
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| **Trained** | 2026-07-07 · Blackfrost-AI |
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---
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## What it is
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MINI-GOD-1B distills **The Void** — chain-of-thought reasoning plus agentic tool-use traces, with denial/refusal data removed — into a model small enough to run on a laptop or a phone-class GPU. The same Void corpus trains the 27B **VEGA**; MINI-GOD-1B is the floor of the family.
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**Behavior:** it **reasons first** (the CoT teaches deliberation) and does not hard-refuse. Expect a short reasoning pass before it complies; a direct re-assertion of intent collapses any hesitation straight to compliance.
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---
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## Training
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- **unsloth QLoRA** on a 4-bit base; LoRA on all 7 projection modules (`q/k/v/o/gate/up/down`), α = rank, dropout 0.
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- **Multi-turn masking** using the model's own chat template — every assistant turn is a supervised target; user/system spans are masked out.
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- **Length-grouped** sampling; adapter merged to bf16 (`merged_16bit`).
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---
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## Intended use & responsibility
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Research and agentic-tooling experimentation. This is an **uncensored** reasoning model with refusals largely removed — **you are responsible for how you use it and for any safety layer you place around it.** It is not intended for deployment to minors or to unsupervised production without your own guardrails, and must not be used to produce content that is illegal in your jurisdiction.
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---
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## Serving (transformers)
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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tok = AutoTokenizer.from_pretrained("Blackfrost-AI/MINI-GOD-1B")
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model = AutoModelForCausalLM.from_pretrained(
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"Blackfrost-AI/MINI-GOD-1B", torch_dtype="bfloat16", device_map="auto"
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)
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```
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Standard Llama architecture — no `trust_remote_code` required. The packaged chat template is applied automatically.
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---
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## Provenance & related
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- **Corpus:** **The Void** (v3) — CoT + agentic ReAct, distilled in The Void.
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- **Sibling:** `PINQWEN-3.6-27B-NVFP4-ABLITERATED — same corpus at 27B.
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- **GGUF:** `Blackfrost-AI/MINI-GOD-1B-GGUF` (F16).
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179
chat_template.jinja
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chat_template.jinja
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{{- bos_token }}{%- if tools %}
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{%- set tool_definitions %}
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{{- "# Tools\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson(ensure_ascii=False) }}
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{%- endfor %}
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{{- '\n</tools>\n\nTool usage guidelines:\n- You may call zero or more functions. If no function calls are needed, just answer normally and do not include any <function ... </function>.\n- When calling a function, return an XML object within <function ... </function> using:\n<function name="function-name"><param name="param-name">param-value</param></function>\n- param-value may be multi-line. If it contains <, & or newline characters, wrap it in a CDATA block: <param name="param-name"><![CDATA[...multi-line value...]]></param>' }}
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{%- endset %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0].role == 'system' %}
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{%- if '<tool_def_sep>' in messages[0].content %}
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{{- messages[0].content.replace('<tool_def_sep>', tool_definitions) }}
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{%- else %}
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{{- messages[0].content + '\n\n' + tool_definitions }}
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{%- endif %}
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{%- else %}
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{{- tool_definitions.lstrip() }}
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{%- endif %}
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{{- '<|im_end|>\n' }}
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{%- else %}
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{%- if messages[0].role == 'system' %}
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{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
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{%- for message in messages[::-1] %}
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{%- set index = (messages|length - 1) - loop.index0 %}
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{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
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{%- set ns.multi_step_tool = false %}
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{%- set ns.last_query_index = index %}
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{%- endif %}
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{%- endfor %}
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{%- for message in messages %}
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{%- if message.content is string %}
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{%- set content = message.content %}
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{%- else %}
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{%- set content = '' %}
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{%- endif %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
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{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{%- set reasoning_content = '' %}
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{%- if message.reasoning_content is string %}
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{%- set reasoning_content = message.reasoning_content %}
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{%- else %}
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{%- if '</think>' in content %}
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{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
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{%- set content = content.split('</think>')[-1].lstrip('\n') %}
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{%- endif %}
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{%- endif %}
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{%- if message.tool_calls %}
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{%- set content_parts = content.split('<tool_sep>') %}
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{%- set processed_content = content_parts[0] %}
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{%- set tool_calls_count = message.tool_calls|length %}
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{%- set tool_sep_count = content_parts|length - 1 %}
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{%- set min_count = [tool_calls_count, tool_sep_count]|min %}
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{%- for i in range(1, content_parts|length) %}
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{%- set tool_index = i - 1 %}
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{%- if tool_index < tool_calls_count %}
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{%- set tool_call = message.tool_calls[tool_index] %}
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{%- if tool_call.function %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{%- set single_tool_xml %}
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{{- '<function name="' ~ tool_call.name ~ '">' }}
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{%- if tool_call.arguments %}
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{%- set args_dict = tool_call.arguments %}
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{%- for param_name, param_value in args_dict.items() %}
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{{- '<param name="' ~ param_name ~ '">' }}
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{%- if param_value is string and ('<' in param_value or '&' in param_value or '\n' in param_value) %}
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{{- '<![CDATA[' + param_value + ']]>' }}
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{%- else %}
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{{- param_value }}
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{%- endif %}
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{{- '</param>' }}
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{%- endfor %}
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{%- endif %}
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{{- '</function>' }}
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{%- endset %}
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{%- set processed_content = processed_content + single_tool_xml + content_parts[i] %}
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{%- else %}
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{%- set processed_content = processed_content + content_parts[i] %}
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{%- endif %}
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{%- endfor %}
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{%- if tool_calls_count > tool_sep_count %}
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{%- for remaining_index in range(tool_sep_count, tool_calls_count) %}
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{%- set tool_call = message.tool_calls[remaining_index] %}
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{%- if tool_call.function %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{%- set remaining_tool_xml %}
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{{- '<function name="' ~ tool_call.name ~ '">' }}
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||||
{%- if tool_call.arguments %}
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{%- set args_dict = tool_call.arguments %}
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||||
{%- for param_name, param_value in args_dict.items() %}
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||||
{{- '<param name="' ~ param_name ~ '">' }}
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||||
{%- if param_value is string and ('<' in param_value or '&' in param_value or '\n' in param_value) %}
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{{- '<![CDATA[' + param_value + ']]>' }}
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{%- else %}
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{{- param_value }}
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{%- endif %}
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{{- '</param>' }}
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||||
{%- endfor %}
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||||
{%- endif %}
|
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{{- '</function>' }}
|
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{%- endset %}
|
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{%- set processed_content = processed_content + remaining_tool_xml %}
|
||||
{%- endfor %}
|
||||
{%- endif %}
|
||||
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{%- set content = processed_content %}
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{%- endif %}
|
||||
|
||||
{%- if loop.index0 > ns.last_query_index %}
|
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{%- if reasoning_content %}
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{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
|
||||
{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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||||
{%- endif %}
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||||
{%- else %}
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||||
{{- '<|im_start|>' + message.role + '\n' + content }}
|
||||
{%- endif %}
|
||||
|
||||
{%- if message.tool_calls and not has_tool_sep %}
|
||||
{%- for tool_call in message.tool_calls %}
|
||||
{%- if (loop.first and content) or (not loop.first) %}
|
||||
{{- '\n' }}
|
||||
{%- endif %}
|
||||
{%- if tool_call.function %}
|
||||
{%- set tool_call = tool_call.function %}
|
||||
{%- endif %}
|
||||
{{- '<function name="' ~ tool_call.name ~ '">' }}
|
||||
{%- if tool_call.arguments %}
|
||||
{%- set args_dict = tool_call.arguments %}
|
||||
{%- for param_name, param_value in args_dict.items() %}
|
||||
{{- '<param name="' ~ param_name ~ '">' }}
|
||||
{%- if param_value is string and ('<' in param_value or '&' in param_value or '\n' in param_value) %}
|
||||
{{- '<![CDATA[' + param_value + ']]>' }}
|
||||
{%- else %}
|
||||
{{- param_value }}
|
||||
{%- endif %}
|
||||
{{- '</param>' }}
|
||||
{%- endfor %}
|
||||
{%- endif %}
|
||||
{{- '</function>' }}
|
||||
{%- endfor %}
|
||||
{%- endif %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- elif message.role == "tool" %}
|
||||
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
||||
{{- '<|im_start|>user' }}
|
||||
{%- endif %}
|
||||
{{- '\n<tool_response>\n' }}
|
||||
{%- if message.content is string %}
|
||||
{{- content }}
|
||||
{%- else %}
|
||||
{{- message.content | tojson(ensure_ascii=False) }}
|
||||
{%- endif %}
|
||||
{{- '\n</tool_response>' }}
|
||||
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
{%- if add_generation_prompt %}
|
||||
{{- '<|im_start|>assistant\n' }}
|
||||
{%- if enable_thinking is defined %}
|
||||
{%- if enable_thinking is false %}
|
||||
{{- '<think>\n\n</think>\n\n' }}
|
||||
{%- elif enable_thinking is true %}
|
||||
{{- '<think>\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
35
config.json
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config.json
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{
|
||||
"architectures": [
|
||||
"LlamaForCausalLM"
|
||||
],
|
||||
"attention_bias": false,
|
||||
"attention_dropout": 0.0,
|
||||
"bos_token_id": 0,
|
||||
"torch_dtype": "bfloat16",
|
||||
"eos_token_id": [
|
||||
1,
|
||||
130073
|
||||
],
|
||||
"head_dim": 128,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 1536,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 4608,
|
||||
"max_position_embeddings": 131072,
|
||||
"mlp_bias": false,
|
||||
"model_type": "llama",
|
||||
"num_attention_heads": 16,
|
||||
"num_hidden_layers": 24,
|
||||
"num_key_value_heads": 2,
|
||||
"pad_token_id": 1,
|
||||
"pretraining_tp": 1,
|
||||
"rms_norm_eps": 1e-06,
|
||||
"rope_parameters": {
|
||||
"rope_theta": 5000000,
|
||||
"rope_type": "default"
|
||||
},
|
||||
"tie_word_embeddings": false,
|
||||
"unsloth_version": "2026.7.1",
|
||||
"use_cache": false,
|
||||
"vocab_size": 130560
|
||||
}
|
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14
generation_config.json
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generation_config.json
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{
|
||||
"_from_model_config": true,
|
||||
"bos_token_id": 0,
|
||||
"do_sample": true,
|
||||
"eos_token_id": [
|
||||
1,
|
||||
130073
|
||||
],
|
||||
"max_length": 131072,
|
||||
"pad_token_id": 1,
|
||||
"temperature": 0.9,
|
||||
"top_p": 0.95,
|
||||
"transformers_version": "5.5.0"
|
||||
}
|
||||
3
model-00000-of-00001.safetensors
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model-00000-of-00001.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b136cb34c7e8a0ceb58e0aafb293fd607f9411e8b04be3ae4ef37176333e979e
|
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size 2161290912
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226
model.safetensors.index.json
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226
model.safetensors.index.json
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{
|
||||
"metadata": {
|
||||
"total_size": 2161265664
|
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|
||||
"weight_map": {
|
||||
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"model.layers.1.self_attn.o_proj.weight": "model-00000-of-00001.safetensors",
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"model.layers.2.self_attn.o_proj.weight": "model-00000-of-00001.safetensors",
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"model.layers.3.self_attn.o_proj.weight": "model-00000-of-00001.safetensors",
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"model.layers.4.self_attn.o_proj.weight": "model-00000-of-00001.safetensors",
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"model.layers.5.self_attn.o_proj.weight": "model-00000-of-00001.safetensors",
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"model.layers.6.self_attn.o_proj.weight": "model-00000-of-00001.safetensors",
|
||||
"model.layers.7.self_attn.o_proj.weight": "model-00000-of-00001.safetensors",
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||||
"model.layers.8.self_attn.o_proj.weight": "model-00000-of-00001.safetensors",
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"model.layers.9.self_attn.o_proj.weight": "model-00000-of-00001.safetensors",
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"model.layers.10.self_attn.o_proj.weight": "model-00000-of-00001.safetensors",
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|
||||
}
|
||||
}
|
||||
653947
tokenizer.json
Normal file
653947
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
4101
tokenizer_config.json
Normal file
4101
tokenizer_config.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user